Hi, I'm trying gaussian curve fitting using matlab. I succeeded in segmenting the signal and fitting it into one gaussian curve as follows. However, I am having difficulty fitting with two or more gaussian curves. How do you code it?

clear all; close all; clc; %% load data load('SPR0013_base_waves_allPEAKS.mat'); %% cnt=99;

PPG=DATA.WAVE(:,2); PT=DATA.LPEAK(:,1); PTI=round(PT*300); L=length(PTI);

x=PTI(cnt):PTI(cnt+1); y=PPG(x); x = x-PTI(cnt);

norm_y=((y-min(y)) / (max(y)-min(y))); re_PPG=interpol3(x,norm_y,x(end)); n=[1:1:1000];

plot(re_PPG,'color',[0.1 0.1 0.1],'LineWidth',1); title(['segment ',num2str(cnt)]) xlabel('Number of samples') ylabel('Norm a.u.') axis tight

a= segGaussFit(n, re_PPG, 1, 0)

[yval, yloc] = max(re_PPG(:));

mu =min(n)+yloc; gaumd1 = (a(1).* exp(-(((n-mu).^2)/(2*a(2)^2)))+min(re_PPG)); hold on; plot(gaumd1)

segment 99 0.9 0.8 0.7 0.6 E 0.5 0.4 0.3 0.2 0.1 100 200 300 400 500 600 700 800 900 1000 Number of samples segment 99 0.9 0.8 0.7 0.6 E 0.5 0.4 0.3 0.2 0.1 100 200 300 400 500 600 700 800 900 1000 Number of samples